Index

A

accuracy() (in module braid.berry.objectives)

add() (braid.berry.BerryModel method)

B

BerryModel (class in braid.berry) bias_variable() (braid.berry.layers.Layer method) braid.berry.activations (module) braid.berry.base (module) braid.berry.initializations (module) braid.berry.layers.convolution (module) braid.berry.layers.dense (module)

braid.berry.layers.noise (module) braid.berry.layers.pooling (module) braid.berry.layers.rnn (module) braid.berry.layers.shape (module) braid.berry.objectives (module) braid.berry.optimizers (module)

C

categorical_crossentropy() (in module braid.berry.objectives)

Convolution2D (class in braid.berry.layers)

D

deepnet() (in module braid.berry.initializations) Dense (class in braid.berry.layers)

Dropout (class in braid.berry.layers)

F

Flatten (class in braid.berry.layers)

G

get() (braid.berry.BerryModel method) get_activation() (in module braid.berry.activations) get_all_aux_params() (in module braid.berry.layers) get_aux_inputs() (braid.berry.layers.Dropout method) get_b_shape() (braid.berry.layers.Convolution2D method) (braid.berry.layers.Dense method) (braid.berry.layers.Layer method) get_fan_in() (braid.berry.layers.Convolution2D method) (braid.berry.layers.Dense method) (braid.berry.layers.Layer method) get_fan_out() (braid.berry.layers.Convolution2D method) (braid.berry.layers.Dense method) (braid.berry.layers.Dropout method) (braid.berry.layers.Layer method)

get_initialzation() (in module braid.berry.initializations) get_objective() (in module braid.berry.objectives) get_optimizer() (in module braid.berry.optimizers) get_output_for() (braid.berry.layers.Convolution2D method) (braid.berry.layers.Dense method) (braid.berry.layers.Dropout method) (braid.berry.layers.Flatten method) (braid.berry.layers.Layer method) (braid.berry.layers.MaxPooling2D method) (braid.berry.layers.RNN method) get_output_shape_for() (braid.berry.layers.Convolution2D method) (braid.berry.layers.Dense method) (braid.berry.layers.Dropout method) (braid.berry.layers.Flatten method) (braid.berry.layers.Layer method) (braid.berry.layers.MaxPooling2D method) (braid.berry.layers.RNN method) get_W_shape() (braid.berry.layers.Convolution2D method) (braid.berry.layers.Dense method) (braid.berry.layers.Layer method) GradientSanity (class in braid.berry.optimizers)

L

last (braid.berry.BerryModel attribute) Layer (class in braid.berry.layers)

layers (braid.berry.BerryModel attribute)

M

MaxPooling2D (class in braid.berry.layers)

O

output (braid.berry.BerryModel attribute)

P

print_layers_summary() (in module braid.berry.layers) print_msg() (braid.berry.optimizers.GradientSanity method)

print_summary() (braid.berry.layers.Layer method) (braid.berry.optimizers.GradientSanity method)

R

RNN (class in braid.berry.layers)

run() (braid.berry.optimizers.GradientSanity method)

S

sgd() (in module braid.berry.optimizers)

T

test_aux (braid.berry.BerryModel attribute) train_aux (braid.berry.BerryModel attribute)

triplet_loss() (in module braid.berry.objectives)

V

validate_input_layer() (braid.berry.layers.Convolution2D method) (braid.berry.layers.Dense method) (braid.berry.layers.Dropout method) (braid.berry.layers.Flatten method) (braid.berry.layers.Layer method) (braid.berry.layers.MaxPooling2D method) (braid.berry.layers.RNN method)

W

weight_variable() (braid.berry.layers.Layer method)

X

xavier() (in module braid.berry.initializations)